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基于正则化的混合准则放疗规划模型的改进

Improvement based on regularization for building hybrid criteria model of radiotherapy planning

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【作者】 郭彩萍舒华忠桂志国张鹏程

【Author】 GUO Caiping;SHU Huazhong;GUI Zhiguo;ZHANG Pengcheng;National Key Laboratory for Electronic Measurement Technology,North University of China;Key Laboratory of Instrument Science&Dynamic Measurement Technology,North University of China;Department of Electronic Engineering,Taiyuan Institute of Technology;Laboratory of Image Science and Technology,Southeast University;

【机构】 中北大学电子测试技术国家重点实验室中北大学仪器科学与动态测试教育部重点实验室太原工业学院电子工程系东南大学影像科学与技术实验室

【摘要】 针对调强放射治疗中基于等效均匀剂量线性目标函数的物理生物混合准则模型的不足,利用正则化理论构造了最大函数的平滑和凸正则化函数,改进了基于等效均匀剂量线性目标函数的混合准则放疗规划模型,解决了原模型限制优化算法寻优能力和难以确定梯度算法步长的问题。实验证明,该方法可以在保证相似靶区剂量覆盖特性的前提下,更好地保护危及器官,提高了放疗计划质量。

【Abstract】 To solve the problem existing in the physical-biological hybrid criteria model based on the generalized equivalent uniform dose linear objective function in conformal intensity- modulated radiation therapy, this paper presents a smooth and convex regularization of max function using regularization theory, and improves the hybrid criteria model based on the generalized equivalent uniform dose. When this improved model is applied in inverse planning optimization process, problems(searching ability of optimization algorithm is restricted and it is hard time predicting how large a step can be made when using a gradient-based optimization algorithm)existing in original model are circumvented. Compared to the original model, experiments show that the method using newly proposed model can get better protection to organs at risk while ensuring similar dose coverage for target and the quality of radiotherapy planning is improved.

【基金】 国家自然科学基金(No.61271312);山西省回国留学人员科研资助项目(No.2016-091)
  • 【文献出处】 计算机工程与应用 ,Computer Engineering and Applications , 编辑部邮箱 ,2017年01期
  • 【分类号】R730.55
  • 【下载频次】84
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